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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6964
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    Explanations

    important keywords and concepts related to various information such as dates, locations, political terminology, and historical events

    oai_token-act-pair · gpt-3.5-turbo

    specific names, dates, and statistical data related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.88
     (?,
    -0.65
     ,"
    -0.58
    ciplinary
    -0.56
     ({
    -0.56
     ('
    -0.55
     [/
    -0.55
     Paraly
    -0.54
     Miscellaneous
    -0.52
    inement
    -0.52
    POSITIVE LOGITS
    ?).
    1.38
    ).
    1.34
    )."
    1.34
    !).
    1.31
    !),
    1.27
    ),
    1.23
    )
    1.19
    ),"
    1.18
    ?),
    1.18
    +)
    1.17
    Activations Density 0.303%

    No Known Activations